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VP, Software Engineering and Machine Learning Operations

A7405949

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Equifax is seeking a creative, high-energy, VP, Software Engineer and Machine Learning Operations Leader with hands-on development skills to work on a variety of high-impact projects. You will have the opportunity to join a team of talented engineers working with leading-edge technology. 

You will unlock new opportunities for business growth, improve analytical process efficiency, maintain and restructure data pipelines, and coordinate with our Technology teams on accelerated deployment of analytical solutions within our production environments.

What You’ll Do

  • Identify optimal path for new analytical product deployment and work with the Technology, Sales, and Marketing organizations on go-to-market execution

  • Oversee Data and Analytics system architecture, scalability, reliability, and performance

  • Manage large scale data engineering and analytics projects ensuring milestones are met, risk is mitigated, and delivery occurs within the agreed upon time frames

  • Oversee the design and implementation of secure data integration processes for both upstream and downstream data pipelines

  • Build and deploy streaming and batch data pipelines across a hybrid multi-cloud architecture

  • Build capabilities to run analytics, data visualization, and machine learning algorithms at scale

  • Build and maintain dimensional databases, data marts, operational data stores, semantic models and ontologies in support of business intelligence and advanced analytics tools in a hybrid multi-cloud architecture

What experience you need

  • 5 or more years of experience programming either using Python, Java or C

  • 10+ years working in a data engineering ETL, Data Modeling, and Big Data Architecture (at least 5+ years working with distributed systems and 3+ years with cloud)

  • 1 or more years of experience with Big Data technologies such as Spark, Kafka and/or Hadoop or NoSQL such as Cassandra

  • 5+ years managing technical individuals (software engineers, data engineers and/or data analysts) 

What could set you apart

  • Experience with Cloud Platforms such as AWS, GCP and Deploying and automating infrastructure/applications using Chef, RPM, Docker, AWS (ECS, ECR), Terraform

  • You possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders.

  • Knowledge of credit bureau data and FCRA regulated data would be preferred

  • Ability to communicate with executive leadership

  • Ability to influence decisions in a complex and matrixed environment

  • Ability to clearly present technical solutions to a non-technical audience

  • Solid understanding of big data analytics including machine learning and distributed computing

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

El trabajo en Equifax

Creemos en una mentalidad de crecimiento. En Equifax, esto incluye brindar a nuestros empleados oportunidades para desempeñarse al máximo y aprender nuevas habilidades a lo largo del camino para inspirar y desarrollar carreras profesionales satisfactorias

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